Automation Articles
Browse 687 articles about Automation.
AI Agent Infrastructure: The 5 Control Layers That Decide If Your Agent Ships
Runtime, identity, data, payments, and observability—these five infrastructure layers determine whether your AI agent reaches production. Here's what each does.
How to Use AI Agents in Large Codebases: Anthropic's 7-Strategy Framework
Anthropic's guide to Claude Code in large codebases covers global rules, hooks, skills, LSP, MCP, sub-agents, and plugins. Here's how to apply each strategy.
How to Build a No-Code AI Agent That Runs 24/7: Lessons from Gemini Spark
Learn how always-on AI agents like Gemini Spark work and how to build your own 24/7 automation using no-code platforms like MindStudio.
How to Build a SaaS Product with AI Agents: Lessons from a $1M ARR Case Study
A real founder used Claude Code and AI agents to build a $1M ARR SaaS. Here's the exact process: problem selection, ideation, simulation, and pricing.
How to Build an AI Agent Harness: Why the Wrapper Matters More Than the Model
The harness—rules, skills, hooks, MCP, and memory—drives more agent performance than the underlying model. Here's how to build one that actually works.
How to Use MCP to Connect AI Agents to Gmail, Google Docs, and Third-Party Tools
MCP lets AI agents like Gemini Spark and Claude Code connect to Gmail, Docs, Sheets, and 1,000+ apps. Here's how to set it up for your workflows.
How to Use Sub-Agents to Split Exploration from Editing in AI Coding Workflows
Sub-agents handle research and codebase exploration in separate context windows, keeping your primary session clean for editing. Here's how to use them.
What Is Google Gemini Spark? The 24/7 Personal AI Agent Explained
Gemini Spark is Google's always-on AI agent that runs on cloud VMs, connects to Gmail, Docs, and third-party tools via MCP, and works while you sleep.
What Is the Agentic Era? How Google I/O 2026 Defined the Next Phase of AI
Google I/O 2026 declared the agentic era: AI that acts, not just answers. Here's what that shift means for builders, businesses, and automation tools.
How to Add Vision to a Local AI Agent Without Blowing Your VRAM
Use a small vision model like MiniCPM-V as a specialized sub-agent to handle screenshots and PDFs without loading a full multimodal LLM.
How to Use AI Tools for Small Business: 10 No-Code Tools That Save Hours
From ChatGPT to Zapier to Claude Co-work, here are 10 AI tools small business owners can set up without writing a single line of code.
How to Build an AI Knowledge Base That Agents Can Search by Meaning
Turn your meeting notes, SOPs, and transcripts into a searchable knowledge base that AI agents can query by meaning using vector embeddings.
Claude Co-work vs Claude Cloud Routines: Which Scheduled Agent Method Wins?
Claude Co-work runs agents on your desktop. Cloud Routines run them in the cloud. Learn which to use for different automation scenarios.
How to Build an AI Memory System for Claude Code: Storage, Injection, and Recall
Claude Code's built-in memory is weak. Learn how to combine Memarch and Hermes patterns for storage, injection, and tiered recall.
How to Use Claude's Small Business Plugin Pack: Setup, Skills, and Connectors
Claude's small business plugin pack includes 31 skills for payroll, invoicing, and HR. Here's how to install it and connect your apps.
What Is the Frozen Snapshot Injection Pattern for AI Agents?
Frozen snapshot injection loads a curated memory file at session start so agents have instant context without burning tokens on every message.
What Is Semantic Memory Search for AI Agents? Vector Databases Explained
Semantic memory search lets AI agents find past information by meaning, not keywords. Learn how vector databases enable this for agent workflows.
Token Efficiency vs Model Intelligence: Why Smaller Vision Models Win for Agents
A 1.3B vision model using 43x fewer tokens than a reasoning model can outperform it in agent loops. Here's why token efficiency matters.
What Is the Wrapper Around an AI Model? Why It Matters More Than the Model
The wrapper around an AI model—skills, memory, connectors, and context—drives more performance than the model itself. Here's why.
What Is Claude Co-work? Anthropic's Desktop AI Agent Explained
Claude Co-work turns Claude into a desktop agent that organizes files, reviews contracts, and runs automations on your local machine.